Industrial Technology Research Institute

Min-Hsin Shen

Chung-Jen Chiu

Ching-Hsien Li

Chih-Chung Kuo

Yao-Chung Fan

Hui-Lan Hung

A question-answering learning method including the following steps is provided. Firstly, several classifiers are created according to Nlabeled sentences among N sentences. Then, at least one corresponding sentence type of each of the Nunlabeled sentences among the N sentences is determined by each classifier. Then, Nsentences are selected from the Nunlabeled sentences according to a degree of consistency of determined results of the classifiers, wherein the determined results of the Nsentences are determined by the classifiers and are inconsistent. Then, Nmutually complementary sentences are selected as to-be-labeled sentences from the Nsentences. Then, after the Nselected to-be-labeled sentences are labeled, several classifiers are re-created according to the Nlabeled sentences and the Nselected to-be-labeled sentences. Then, at least one of the previously created classifiers is added to the currently created classifiers to be members of the classifiers.

Question-answering learning method and question-answering learning system using the same and computer program product thereof

A system for adaptively adjusting related search words are provided. The system includes an input device, a search log collection module, a threshold setting module and a process evolution module. The input device receives a search word. The search log collection module determines whether the cumulative search count of the search word is greater than a first threshold or less than a second threshold. The threshold setting module sets the first threshold and the second threshold in terms of the number of search logs. When the cumulative search count of the search word is between the first threshold and the second threshold, the process evolution module optimizes the middle search process to find out at least one related word and/or at least one historical search word most related to the attributes or content of the search word from the indexed text and the historical search log.

System and method for adaptively adjusting related search words

An internet question answering method is applied in an internet question answering system. A current-turn user question is received. Based on a discourse labeling model, a discourse of the current-turn user question is labeled as 'discourse continue' or 'discourse end' online and real-time. Based on the discourse of the current-turn user question, whether to clear at least one discourse of an old boundary is determined. The internet question answering system answers the current-turn user question. A match degree between a next-turn user question and the segment of the dialog log is compared to determine whether the discourse of the current-turn user question is correct, whether to correct the discourse of the current-turn user question, and whether to adjust the discourse labeling model by using the current-turn user question.

Internet question answering system and method, and computer readable recording media

In one exemplary embodiment, a system for discovering suspicious account groups establishes a language model according to the post contents from each account of a first group of accounts during a first time interval, to describe the speech of the account, and compares the similarity among a plurality of language models of the first group of accounts to cluster the first group of accounts; and for a plurality of newly added data during a second time interval, discovers near-synonyms of at least a monitored vocabulary set, and updates the near-synonyms to a plurality of language models of a second group of accounts. The system further integrates the first and the second groups of accounts, and re-clusters an integrated group of accounts.

Method and system for discovering suspicious account groups

A speech synthesizer generating system and a method thereof are provided. A speech synthesizer generator in the speech synthesizer generating system automatically generates a speech synthesizer conforming to a speech output specification input by a user. In addition, a recording script is automatically generated by a recording script generator in the speech synthesizer generating system according to the speech output specification, and a customized or expanded speech material is recorded according to the recording script. After the speech material is uploaded to the speech synthesizer generating system, the speech synthesizer generator automatically generates a speech synthesizer conforming to the speech output specification. The speech synthesizer then synthesizes and outputs a speech output at a user end.

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Taichung, Taiwan

Min-Hsin Shen